weixin_45569617的博客

import torchimport torch.nn as nnimport torch.nn.functional as fdef describe(x): print("Type:{}".format(x.type())) print("Shape/size:{}".format(x.shape)) print("Values:\n{}".format(x))pytorch神经网络在深度学习中实现训练一个神经网络，一定会包含的有神经元（perceptron）、损失

import torchimport numpy as npdef describe(x): print("Type:{}".format(x.type())) print("Shape/size:{}".format(x.shape)) print("Values:\n{}".format(x))创建张量tensor# 用torch.Tensor创建一个张量describe(torch.Tensor(2, 3))describe(torch.tensor(2))d